industry news
Subscribe Now

Sensory and ARM Processors Enabling AI at the Edge

With broad ARM compatibility, embedded technologies from Sensory allow device makers to enable artificial intelligence on device without needing a cloud connection

Santa Clara, Calif., – May 25, 2017 – Sensory Inc., a Silicon Valley company focused on improving the user experience and security of consumer electronics through embedded artificial intelligence (AI) technologies, continues to expand its support for ARM® Cortex® processors as part of its commitment to make embedded AI more prevalent across numerous product categories. With broad ARM platform support, Sensory offers device manufacturers embedded AI-enabling solutions for on-device voice wake up, speech and natural language recognition and processing, chatbots, computer vision and voice biometrics recognition, and more, all of which do not require internet connectivity for functionality.

Sensory’s TrulyHandsfree speech recognition and wake word technology with deep neural nets, is available on a wide range of ARM Cortex-M and Cortex-A based processors deeply embedded on-chip or at the OS level. TrulyNatural enables large vocabulary speech recognition with phrase spotting techniques for natural language recognition and chatbots on-device via Cortex-A cores running at the OS level. TrulySecure, provides face and voice recognition with user identification and biometric authentication via Cortex-A cores at the OS level.

“ARM has an increasing focus on bringing intelligence from the cloud to the device,” said Laurence Bryant, vice president of personal mobile compute, ARM. “Sensory has developed some of the best demonstrations of how AI solutions, such as natural language, computer vision, biometric wake words, and more can be implemented on the edge. ARM’s IP engines are well-suited for utilizing these embedded technologies and driving compute innovation forward in this space.”

For many reasons, including growing amounts of data from on-device sensors, device and AI system responsiveness and user privacy, we are seeing a shift away from full reliance on cloud servers for AI processing in favor of moving varying degrees of AI processing to client devices. Sensory, together with ARM, are making it possible to bring AI to the edge, allowing device manufacturers to reduce their reliance on the cloud through deeply embedded AI solutions that run on the applications processor. Sensory’s technologies can be utilized for either completely cloud-free operation or complementarily with cloud-based systems to provide a quicker, smarter and better overall AI user experience.

Embedded AI applications from Sensory that currently support ARM processor-based platforms include:

  • Deep neural networks
  • Speech recognition
  • Always-listening wake word
  • Statistical language models
  • Chatbots – natural language processing
  • Computer vision
  • Voice biometrics

“ARM is uniquely positioned to support all of Sensory’s AI-based technologies on multiple platforms,” said Todd Mozer, CEO at Sensory. “Our common vision of AI distributed to the edge makes for a valuable offering for the ARM developer community and end users.”

Billions of CE devices feature ARM processor-based platforms, ranging from low-power wearables to smartphones and complex IoT Hubs. To date, Sensory’s deeply embedded technologies and OS-level software have shipped in more than two billion devices from some of the world’s largest CE, toy and robotics manufacturers.

Sensory provides ports of its solutions to numerous chip providers in the ARM ecosystem, including: NXP, QuickLogic and ST Micro, as well as offers OS-level support for ARM-based applications processors running Android, Linux and others.

For more information about this announcement, Sensory or its technologies, please contact sales@sensory.com; Press inquiries: press@sensory.com

About Sensory Inc.

Sensory Inc. creates a safer and superior UX through vision and voice technologies. Sensory’s technologies are widely deployed in consumer electronics applications including mobile phones, automotive, wearables, toys, IoT and various home electronics. With its TrulyHandsfree™ voice control, Sensory has set the standard for mobile handset platforms’ ultra-low power “always listening” touchless control. To date, Sensory’s technologies have shipped in over a billion units of leading consumer products. Visit Sensory at www.sensory.com

Leave a Reply

featured blogs
May 2, 2024
I'm envisioning what one of these pieces would look like on the wall of my office. It would look awesome!...
Apr 30, 2024
Analog IC design engineers need breakthrough technologies & chip design tools to solve modern challenges; learn more from our analog design panel at SNUG 2024.The post Why Analog Design Challenges Need Breakthrough Technologies appeared first on Chip Design....

featured video

Introducing Altera® Agilex 5 FPGAs and SoCs

Sponsored by Intel

Learn about the Altera Agilex 5 FPGA Family for tomorrow’s edge intelligent applications.

To learn more about Agilex 5 visit: Agilex™ 5 FPGA and SoC FPGA Product Overview

featured paper

Altera® FPGAs and SoCs with FPGA AI Suite and OpenVINO™ Toolkit Drive Embedded/Edge AI/Machine Learning Applications

Sponsored by Intel

Describes the emerging use cases of FPGA-based AI inference in edge and custom AI applications, and software and hardware solutions for edge FPGA AI.

Click here to read more

featured chalk talk

Neutrik powerCON®: Twist and Latch Locking AC Power Connectors
Sponsored by Mouser Electronics and Neutrik
If your next design demands frequent connector mating and unmating and use in countries throughout the world, a twist and latch locking AC power connector would be a great addition to your system design. In this episode of Chalk Talk, Amelia Dalton and Fred Morgenstern from Neutrik explore the benefits of Neutrik's powerCON® AC power connectors, the electrical and environmental specifications included in this connector family, and why these connectors are a great fit for a variety of AV and industrial applications. 
Nov 27, 2023
21,300 views